{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparing Regression Models\n",
    "In this notebook, we'll look at methods for comparing regression models.  In this notebook, we'll use results from the paper [Validation of AMBER/GAFF for Relative Free Energy Calculations](https://chemrxiv.org/articles/Validation_of_AMBER_GAFF_for_Relative_Free_Energy_Calculations/7653434) to compare two different approaches to free energy calculations.  More information can be found in this [blog post](http://practicalcheminformatics.blogspot.com/2019/02/some-thoughts-on-evaluating-predictive.html). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install the necessary Python libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-05T22:11:54.575800Z",
     "start_time": "2025-05-05T22:11:54.574207Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "IN_COLAB = 'google.colab' in sys.modules\n",
    "if IN_COLAB:\n",
    "    !pip install pandas matplotlib seaborn numpy scipy scikit-learn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the necessary Python libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math\n",
    "import numpy as np\n",
    "from scipy.stats import norm, pearsonr\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read and Parse the Input Data\n",
    "As a first step, we want to grab the data from a set of Excel worksheets in the supporting material.  The Excel workbook has multiple sheets, we need to get the names of those sheets. Fortunately Pandas has all sorts of facilities for manipulating Excel files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "xls_name = \"https://raw.githubusercontent.com/PatWalters/practical_cheminformatics_tutorials/main/data/FEP_vs_GTI-dG-SI.xlsx\"\n",
    "df_dict = pd.read_excel(xls_name,sheet_name=None,header=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can define a function that will grab the data from a particular sheet. In this case the data we want is in columns 15-17. We'll grab those columns and create a new dataframe with the columns labeled as Experimental  Δ G, FEP  Δ G, and TI  Δ G. We will also include columns with the target and with the target concatenated with a sequential index. Ok, in truth, we're going to label the columns as Experimental_dG, etc. for convenience.  The final row in columns 15-17 is the sum of the values in the column.  We don't want this, so we'll use df = df.query(\"Experimental_dG > -20\") to get rid of the sum row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data_from_sheet(df_dict, sheet_name, col_names):\n",
    "    df = df_dict[sheet_name]\n",
    "    df = df[df.columns[15:18]]\n",
    "    col_names = [\"Experimental_dG\",\"FEP_dG\",\"TI_dG\"]\n",
    "    df.columns = col_names\n",
    "    df = df.dropna()\n",
    "    df = df.query(\"Experimental_dG > -20\")\n",
    "    rows,_ = df.shape\n",
    "    df.insert(0,\"Target\",[sheet_name]*rows)\n",
    "    df.insert(1,\"ID\",[f\"{sheet_name}_{x}\" for x in range(0,rows)])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the number of decimal places displayed in the Pandas table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.float_format = '{:,.2f}'.format"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the Excel sheets and put the data into a Pandas dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n",
      "/var/folders/mf/pm2p2q1s4gzbtyyz1cxhlpyc0000gn/T/ipykernel_30927/2245923024.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  big_df = big_df.append(tmp_df)\n"
     ]
    }
   ],
   "source": [
    "sheet_names = df_dict.keys()\n",
    "col_names = [\"Experimental_dG\",\"FEP_dG\",\"TI_dG\"]\n",
    "big_df = pd.DataFrame(columns=[\"Target\",\"ID\"]+col_names)\n",
    "for sheet in sheet_names:\n",
    "    tmp_df = get_data_from_sheet(df_dict,sheet,col_names)\n",
    "    big_df = big_df.append(tmp_df)   \n",
    "big_df.sort_values(\"Target\",inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>ID</th>\n",
       "      <th>Experimental_dG</th>\n",
       "      <th>FEP_dG</th>\n",
       "      <th>TI_dG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_12</td>\n",
       "      <td>-8.53</td>\n",
       "      <td>-6.76</td>\n",
       "      <td>-8.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_30</td>\n",
       "      <td>-7.84</td>\n",
       "      <td>-7.40</td>\n",
       "      <td>-7.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_29</td>\n",
       "      <td>-9.01</td>\n",
       "      <td>-7.93</td>\n",
       "      <td>-7.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_28</td>\n",
       "      <td>-8.25</td>\n",
       "      <td>-7.01</td>\n",
       "      <td>-9.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_27</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-10.14</td>\n",
       "      <td>-10.16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Target       ID  Experimental_dG  FEP_dG  TI_dG\n",
       "12   bace  bace_12            -8.53   -6.76  -8.27\n",
       "30   bace  bace_30            -7.84   -7.40  -7.40\n",
       "29   bace  bace_29            -9.01   -7.93  -7.80\n",
       "28   bace  bace_28            -8.25   -7.01  -9.72\n",
       "27   bace  bace_27            -9.10  -10.14 -10.16"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "big_df.to_csv(\"~/fep_comparison.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Reformat the Data for Plotting\n",
    "In order to make some of our plots we need to reshape the data so that \"FEP_dG\" and \"TI_dG\" are in one column.  We can use the Pandas \"melt\" function to do this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf = big_df.melt(id_vars=[\"Target\",\"ID\",\"Experimental_dG\"])\n",
    "mdf[\"DataSet\"] = mdf.Target + \"_\" + mdf.variable.str.replace(\"_dG\",\"\")\n",
    "mdf.sort_values(\"DataSet\",inplace=True)\n",
    "cols = list(mdf.columns)\n",
    "cols[4] = \"Predicted_dG\"\n",
    "mdf.columns = cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>ID</th>\n",
       "      <th>Experimental_dG</th>\n",
       "      <th>variable</th>\n",
       "      <th>Predicted_dG</th>\n",
       "      <th>DataSet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_12</td>\n",
       "      <td>-8.53</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-6.76</td>\n",
       "      <td>bace_FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_30</td>\n",
       "      <td>-7.84</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.40</td>\n",
       "      <td>bace_FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_29</td>\n",
       "      <td>-9.01</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.93</td>\n",
       "      <td>bace_FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_28</td>\n",
       "      <td>-8.25</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.01</td>\n",
       "      <td>bace_FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_27</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-10.14</td>\n",
       "      <td>bace_FEP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Target       ID  Experimental_dG variable  Predicted_dG   DataSet\n",
       "0    bace  bace_12            -8.53   FEP_dG         -6.76  bace_FEP\n",
       "20   bace  bace_30            -7.84   FEP_dG         -7.40  bace_FEP\n",
       "21   bace  bace_29            -9.01   FEP_dG         -7.93  bace_FEP\n",
       "22   bace  bace_28            -8.25   FEP_dG         -7.01  bace_FEP\n",
       "23   bace  bace_27            -9.10   FEP_dG        -10.14  bace_FEP"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to make the plots look better we'll add another column called \"Method\" to label FEP and TI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf[\"Method\"] = [x.replace(\"_dG\",\"\") for x in mdf.variable.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>ID</th>\n",
       "      <th>Experimental_dG</th>\n",
       "      <th>variable</th>\n",
       "      <th>Predicted_dG</th>\n",
       "      <th>DataSet</th>\n",
       "      <th>Method</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_12</td>\n",
       "      <td>-8.53</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-6.76</td>\n",
       "      <td>bace_FEP</td>\n",
       "      <td>FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_30</td>\n",
       "      <td>-7.84</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.40</td>\n",
       "      <td>bace_FEP</td>\n",
       "      <td>FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_29</td>\n",
       "      <td>-9.01</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.93</td>\n",
       "      <td>bace_FEP</td>\n",
       "      <td>FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_28</td>\n",
       "      <td>-8.25</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-7.01</td>\n",
       "      <td>bace_FEP</td>\n",
       "      <td>FEP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>bace</td>\n",
       "      <td>bace_27</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>FEP_dG</td>\n",
       "      <td>-10.14</td>\n",
       "      <td>bace_FEP</td>\n",
       "      <td>FEP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Target       ID  Experimental_dG variable  Predicted_dG   DataSet Method\n",
       "0    bace  bace_12            -8.53   FEP_dG         -6.76  bace_FEP    FEP\n",
       "20   bace  bace_30            -7.84   FEP_dG         -7.40  bace_FEP    FEP\n",
       "21   bace  bace_29            -9.01   FEP_dG         -7.93  bace_FEP    FEP\n",
       "22   bace  bace_28            -8.25   FEP_dG         -7.01  bace_FEP    FEP\n",
       "23   bace  bace_27            -9.10   FEP_dG        -10.14  bace_FEP    FEP"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, now we're ready to make some plots.  I want to use the Seaborn FacetGrid class to put plots side by side.  In order to do this, I'm going to define a custom plotting function that plots Experimental $\\Delta$G vs Predicted $\\Delta$G.  We also want to put in lines at 2 kcal above and below the unity line.  I could make this function more customizable and pass a bunch of kwargs, but that will also make the function a lot more complicated.  For things like this, I often find it easier just to hard code the parameters I want.  The only argument being passed is \"skip_text\" which tells the function whether to display the $R^2$ for the correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_dG_facet(*args,**kwargs):\n",
    "    skip_text = False\n",
    "    if kwargs.get(\"skip_text\"):\n",
    "        kwargs.pop(\"skip_text\")\n",
    "        skip_text = True\n",
    "    xlim, ylim = np.array([[-15,-4],[-15,-4]])\n",
    "    with warnings.catch_warnings():\n",
    "        warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "        ax = sns.scatterplot(*args,**kwargs)\n",
    "    r2 = pearsonr(args[0],args[1])[0]**2\n",
    "    pad = 2\n",
    "    if not skip_text:\n",
    "        ax.text(-14,-6,f\"$R^2$={r2:.2f}\")\n",
    "    ax.plot(xlim,ylim,linewidth=2, color='blue')\n",
    "    ax.plot(xlim,ylim+pad,color=\"black\",linestyle=\"--\")\n",
    "    ax.plot(xlim,ylim-pad,color=\"black\",linestyle=\"--\")\n",
    "    ax.set(xlim=xlim,ylim=ylim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Putting Everything on One Plot (Please Don't Do This)\n",
    "Make a plot like the one in Wang et al. https://pubs.acs.org/doi/10.1021/ja512751q I find this plot very confusing, but I wanted to prove to myself that I could reproduce it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1317.2x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=2)\n",
    "sns.set_style(\"white\")\n",
    "g = sns.FacetGrid(mdf,col=\"Method\",hue=\"Target\",col_wrap=2,height=8,legend_out=True)\n",
    "g.map(draw_dG_facet,\"Experimental_dG\",\"Predicted_dG\",skip_text=True,s=100)\n",
    "_ = g.set_titles(col_template=\"{col_name}\")\n",
    "g.set_xlabels(\"Experimental $\\Delta$G (kcal/mol)\")\n",
    "g.set_ylabels(\"Predicted $\\Delta$G (kcal/mol)\")\n",
    "_ = g.add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Trellising the Data\n",
    "I think a better way to plot this data is to trellis by target/method and to put the plots side by side.  I also think it's important to display the $R^2$ for the correlations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1)\n",
    "sns.set_style(\"white\")\n",
    "g = sns.FacetGrid(mdf,col=\"DataSet\",col_wrap=4)\n",
    "g.map(draw_dG_facet,\"Experimental_dG\",\"Predicted_dG\")\n",
    "_ = g.set_titles(col_template=\"{col_name}\")\n",
    "g.set_xlabels(\"Experimental $\\Delta$G (kcal/mol)\")\n",
    "_= g.set_ylabels(\"Predicted $\\Delta$G (kcal/mol)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculating Confidence Intervals for Correlation Coefficients\n",
    "Another way to look at this data is to plot the correlations as bar plots.  Of course the bar plots should have error bars.  We can use this function to calculate the 95% confidence interval for the correlations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pearson_confidence(r, num, interval=0.95):\n",
    "    \"\"\"\n",
    "    Calculate upper and lower 95% CI for a Pearson r (not R**2)\n",
    "    Inspired by https://stats.stackexchange.com/questions/18887\n",
    "    :param r: Pearson's R\n",
    "    :param num: number of data points\n",
    "    :param interval: confidence interval (0-1.0)\n",
    "    :return: lower bound, upper bound\n",
    "    \"\"\"\n",
    "    stderr = 1.0 / math.sqrt(num - 3)\n",
    "    interval = interval + (1-interval)/2\n",
    "    z_score = norm.ppf(interval)\n",
    "    delta = z_score * stderr\n",
    "    lower = math.tanh(math.atanh(r) - delta)\n",
    "    upper = math.tanh(math.atanh(r) + delta)\n",
    "    return lower, upper"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This code just calculates Pearson r for each of the target/method combinations.  I used the Pearson r rather than $R^2$ because I felt it made the differences more apparent in the plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "gb = big_df.groupby(\"Target\")\n",
    "res = []\n",
    "for k,v in gb:\n",
    "    num = len(v.Experimental_dG)\n",
    "    r_FEP = pearsonr(v.Experimental_dG,v.FEP_dG)[0]\n",
    "    r_TI = pearsonr(v.Experimental_dG,v.TI_dG)[0]\n",
    "    lb_FEP, ub_FEP = pearson_confidence(r_FEP,num)\n",
    "    lb_TI, ub_TI = pearson_confidence(r_TI,num)\n",
    "    # Currently calculate Pearson r, use the line below to get R**2\n",
    "    #res.append([k,len(v)]+[x**2 for x in [lb_FEP,r_FEP,ub_FEP,lb_TI,r_TI,ub_TI]])\n",
    "    res.append([k,len(v)]+[x for x in [lb_FEP,r_FEP,ub_FEP,lb_TI,r_TI,ub_TI]])\n",
    "res_df = pd.DataFrame(res,columns=[\"Target\",\"Num\",\"FEP_LB\",\"FEP Correlation\",\"FEP_UB\",\"TI_LB\",\"TI Correlation\",\"TI_UB\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>Num</th>\n",
       "      <th>FEP_LB</th>\n",
       "      <th>FEP Correlation</th>\n",
       "      <th>FEP_UB</th>\n",
       "      <th>TI_LB</th>\n",
       "      <th>TI Correlation</th>\n",
       "      <th>TI_UB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bace</td>\n",
       "      <td>36</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cdk2</td>\n",
       "      <td>16</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.79</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>jnk1</td>\n",
       "      <td>21</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mcl1</td>\n",
       "      <td>42</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>p38a</td>\n",
       "      <td>34</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ptp1b</td>\n",
       "      <td>23</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>thrombin</td>\n",
       "      <td>11</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tyk2</td>\n",
       "      <td>16</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.89</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Target  Num  FEP_LB  FEP Correlation  FEP_UB  TI_LB  TI Correlation  \\\n",
       "0      bace   36    0.61             0.78    0.88   0.12            0.43   \n",
       "1      cdk2   16   -0.03             0.48    0.79  -0.03            0.47   \n",
       "2      jnk1   21    0.65             0.84    0.94   0.05            0.47   \n",
       "3      mcl1   42    0.61             0.77    0.87   0.43            0.65   \n",
       "4      p38a   34    0.40             0.65    0.81   0.05            0.38   \n",
       "5     ptp1b   23    0.59             0.80    0.91   0.42            0.71   \n",
       "6  thrombin   11    0.18             0.71    0.92   0.28            0.76   \n",
       "7      tyk2   16    0.71             0.89    0.96   0.11            0.57   \n",
       "\n",
       "   TI_UB  \n",
       "0   0.67  \n",
       "1   0.78  \n",
       "2   0.75  \n",
       "3   0.80  \n",
       "4   0.64  \n",
       "5   0.87  \n",
       "6   0.93  \n",
       "7   0.83  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Correlations With Error Bars\n",
    "In order to make the plots, we need to reshape the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "melt_res_df = res_df[[\"Target\",\"FEP Correlation\",\"TI Correlation\"]].melt(id_vars=\"Target\")\n",
    "melt_res_df.sort_values(\"Target\",inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bace</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>bace</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cdk2</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>cdk2</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>jnk1</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>jnk1</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mcl1</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>mcl1</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>p38a</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>p38a</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ptp1b</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ptp1b</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>thrombin</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>thrombin</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tyk2</td>\n",
       "      <td>FEP Correlation</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>tyk2</td>\n",
       "      <td>TI Correlation</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Target         variable  value\n",
       "0       bace  FEP Correlation   0.78\n",
       "8       bace   TI Correlation   0.43\n",
       "1       cdk2  FEP Correlation   0.48\n",
       "9       cdk2   TI Correlation   0.47\n",
       "2       jnk1  FEP Correlation   0.84\n",
       "10      jnk1   TI Correlation   0.47\n",
       "3       mcl1  FEP Correlation   0.77\n",
       "11      mcl1   TI Correlation   0.65\n",
       "4       p38a  FEP Correlation   0.65\n",
       "12      p38a   TI Correlation   0.38\n",
       "5      ptp1b  FEP Correlation   0.80\n",
       "13     ptp1b   TI Correlation   0.71\n",
       "6   thrombin  FEP Correlation   0.71\n",
       "14  thrombin   TI Correlation   0.76\n",
       "7       tyk2  FEP Correlation   0.89\n",
       "15      tyk2   TI Correlation   0.57"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "melt_res_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(12,12)},font_scale=1.5)\n",
    "ax = sns.barplot(x=\"Target\",y=\"value\",hue=\"variable\",data=melt_res_df)\n",
    "x_pos = np.arange(8)-0.2\n",
    "y_val = res_df[\"FEP Correlation\"]\n",
    "lb = y_val - res_df.FEP_LB\n",
    "ub = res_df.FEP_UB - y_val\n",
    "ax.errorbar(x_pos,y_val,yerr=[lb,ub],fmt=\"none\",capsize=0,color='black')\n",
    "x_pos = np.arange(8)+0.2\n",
    "y_val = res_df[\"TI Correlation\"]\n",
    "lb = y_val - res_df.TI_LB\n",
    "ub = res_df.TI_UB - y_val\n",
    "a = ax.errorbar(x_pos,y_val,yerr=[lb,ub],fmt=\"none\",capsize=0,color='black')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., handles=handles[0:2], labels=labels[0:2])\n",
    "_ = ax.set(xlabel='', ylabel=\"Pearson r\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculating the Effect Size\n",
    "As [Anthony Nicholls](https://link.springer.com/article/10.1007/s10822-016-9904-5) points out, when we have a data set like this with dependent errors, the fact that error bars overlap does not necessarily imply that the methods are equivalent.  However, we can use the mean of differences / std deviation of the differences to calculate [Cohen's d](https://machinelearningmastery.com/effect-size-measures-in-python/), which measures the effect size. Cohen’s d measures the difference between the mean from two Gaussian-distributed variables. It is a standard score that summarizes the difference in terms of the number of standard deviations. Because the score is standardized, there is a table for the interpretation of the result, summarized as:\n",
    "\n",
    "- Small Effect Size: d=0.20\n",
    "- Medium Effect Size: d=0.50\n",
    "- Large Effect Size: d=0.80\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.2137416942335348"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delta = res_df[\"FEP Correlation\"].values-res_df[\"TI Correlation\"].values\n",
    "np.mean(delta)/np.std(delta)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get a Cohen's d of 1.2, which is a very large effect size. We can define a function to convert d to an approximate probability between 0 and 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def d_to_probability(d):\n",
    "    return 0.25 * abs(d) + 0.5 \n",
    "d_to_probability(1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So for the 8 datasets we examined, FEP should outperform TI in 8 of 10 cases. To look at this visually, let's plot a kernel density estimate for the Pearson r distributions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "sns.kdeplot(res_df[\"FEP Correlation\"],color=\"r\",shade=True)\n",
    "ax = sns.kdeplot(res_df[\"TI Correlation\"],color=\"b\",shade=True)\n",
    "_ = ax.set(xlabel=\"Pearson r\",ylabel=\"Density\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also calculate Cohen's d for the RMSE."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "gb = big_df.groupby(\"Target\")\n",
    "res = []\n",
    "for k,v in gb:\n",
    "    res.append([k,mean_squared_error(v.Experimental_dG,v.FEP_dG),mean_squared_error(v.Experimental_dG,v.TI_dG)])\n",
    "rmse_df = pd.DataFrame(res,columns=[\"Target\",\"FEP RMSE\",\"TI RMSE\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.0813375331578456"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delta = rmse_df[\"FEP RMSE\"].values - rmse_df[\"TI RMSE\"].values\n",
    "np.mean(delta)/np.std(delta)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again we have a very large effect size. As above, we can covert this to a probability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.77"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d_to_probability(-1.08)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
